Labs

• 1: Lab 1 - Introduction to R and Reproducible Research

• 2: Lab 2 - git, GitHub and RStudio project

• 3: Lab 3 - Data Analysis and Visualization in Python

• 4: Lab 4 - Data Analysis and Visualization in Python

• 5:
  1. Lab 5 - Data wrangling and graphing COVID-19 reporting data (Part 1)
  2. Lab 5 - Data wrangling and graphing COVID-19 reporting data (Part 2)
  3. Lab 5 Extra - Interactive Graphs and Animations from the COVID-19 reporting data
• 6:
  1. Lab 6 - Data Maps, Interactive Graphs and Animations from the COVID-19 reporting data
  2. Lab 6 - Exercise 5 Report

• 7: Lab 7: RNA Seq Workflow

• 8: Lab 8: Sequence Alignment, Phylogenetic Analysis, and Tree Visualization

• 9: Lab 9: Programming in R - Regular Expressions

• 9x: Lab 9x: Programming in R - Control Structures and Functions

• 10: Lab 10: Population genomics based on high throughput sequencing (HTS)

• 11: Lab 11: Microbiome Analysis using data2 and phyloseq